一次蓝藻爆发期间沙潘卡湖的细菌群落组成

IF 0.8 Q4 MARINE & FRESHWATER BIOLOGY Aquatic Sciences and Engineering Pub Date : 2020-03-13 DOI:10.26650/ase2020652073
E. Özbayram, Latife Köker, R. Akçaalan, O. Ince, Meriç Albay
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引用次数: 2

摘要

淡水生态系统的微生物群落组成和功能因环境参数和水化学而异。瞬时开花事件在群落概况中起着至关重要的作用。在本研究中,我们将通过高通量测序方法提供与蓝藻水华相关的Sapanca湖细菌群落组成的快照。为此,我们在Sapanca湖岸边收集了一份蓝藻华期间的样本,并使用Illumina MiSeq平台通过16S rRNA扩增子测序检测了细菌群落特征。蓝藻菌占所有读数的94%。通过筛选蓝藻序列,重新计算细菌群落,详细评估细菌多样性。该群落以变形菌门(44%)和拟杆菌门(33%)为主,它们在淡水生态系统中丰富,具有降解复杂有机物的能力。在分类属中,黄杆菌属(Flavobacterium)和莱茵海菌属(Rheinheimera)在细菌群落中占主导地位,这表明这些物种与蓝藻华之间存在很强的联系。本文提出的实验工作首次采用高通量测序方法对萨潘卡湖的总细菌群落进行了调查。进一步的工作需要更多的采样点和时间序列来充分了解细菌的多样性和动态。
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Bacterial Community Composition of Sapanca Lake During a Cyanobacterial Bloom
Microbial community compositions and functions of freshwater ecosystems vary due to the environmental parameters and water chemistry. Transient bloom events play a crucial role on the community profiles. In this study, a specific focus was set to provide a snapshot of the bacterial community composition in Lake Sapanca, associated with cyanobacterial bloom by high throughput sequencing method. For this purpose, a sample was collected in the shore of Lake Sapanca during a cyanobacterial bloom, and the bacterial community profile was examined by 16S rRNA amplicon sequencing using the Illumina MiSeq platform. Cyanobacteria represented 94% of the all reads. The bacterial community was re-calculated to evaluate the bacterial diversity in detail by filtering cyanobacterial sequences. The community was dominated by Proteobacteria (44%) and Bacteroidetes (33%) species which are abundant in freshwater ecosystems having an ability to degrade complex organics. Among the classified genera, Flavobacterium and Rheinheimera dominated the bacterial community suggesting a strong link between those species and the cyanobacterial bloom. The experimental work presented here provides one of the first investigations of total bacterial communities in Lake Sapanca by the high throughput sequencing method. Further work is needed with more sampling points and time series to fully understand the bacterial diversity and dynamics.
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来源期刊
Aquatic Sciences and Engineering
Aquatic Sciences and Engineering MARINE & FRESHWATER BIOLOGY-
CiteScore
1.30
自引率
0.00%
发文量
24
审稿时长
18 weeks
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